Relationships Between Errors Propagated in Fraction of Vegetation Cover by Algorithms Based on a Two-Endmember Linear Mixture Model

Remotely sensed reflectance spectra may be biased by several intervening factors, and the biases are propagated into estimations of the fraction of vegetation cover (FVC) by algorithms based on a linear mixture model (LMM). The errors propagated in FVCs depend on the retrieval algorithm used, due to...

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Bibliographic Details
Main Authors: Kenta Obata, Hiroki Yoshioka
Format: Article
Language:English
Published: MDPI AG 2010-12-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/2/12/2680/